INF5860 - Machine Learning for Image Analysis

Course description

Schedule, syllabus and examination date

Course content

The course gives an introduction to the theory behind central machine learning algorithms and how these are used in image analysis. Selected methods and tools for deep learning are also presented.

Learning outcome

After this course

You have good knowledge about the theory behind central classification algorithms, logistic regression, and neural nets and how these are applied to images.

You are familiar with central mathematical method applied in the algorithms.

You can discuss and evaluate how different feature extraction methods affect the classification error rate.

You have knowledge about overtraining, generalization, and validation.

You know how convolutional networks work and how they can be adapted to various applications.

You have experience in using tools for deep learning like Tensorflow.

Admission

Students admitted at UiO must apply for courses in Studentweb. Students enrolled in other Master's Degree Programmes can, on application, be admitted to the course if this is cleared by their own study programme.